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gokuls/
hBERTv1_new_pretrain_wnli

Name: hBERTv1_new_pretrain_wnli
Availability: InStock

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hBERTv1_new_pretrain_wnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new on the GLUE WNLI dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8538	1.0	5	0.6975	0.4366
0.7194	2.0	10	0.6922	0.5634
0.7223	3.0	15	0.6893	0.5634
0.713	4.0	20	0.7205	0.4366
0.7081	5.0	25	0.6865	0.5634
0.7028	6.0	30	0.7048	0.4366
0.697	7.0	35	0.6852	0.5634
0.7002	8.0	40	0.6967	0.4366
0.7017	9.0	45	0.7156	0.4366
0.702	10.0	50	0.6885	0.5634
0.6945	11.0	55	0.6927	0.4930
0.7002	12.0	60	0.6922	0.4648